Radhwan Hussin
Thumbnail Image
Preferred name
Radhwan Hussin
Official Name
Radhwan, Hussin
Alternative Name
Hussin, R.
Radhwan, H.
Radhwan, Hussin
Hussin, Radhwan
Hussin, Radhwan Bin
Main Affiliation
Scopus Author ID
57210390315
Researcher ID
AAW-9696-2020

Research Output
Now showing 1 - 2 of 2
  • Publication
    Perturbation parameters tuning of multi-objective optimization differential evolution and its application to dynamic system modeling
    (Penerbit UTM Press, 2015)
    Mohd Zakimi Zakaria
    ;
    Hishamuddin Jamaluddin
    ;
    Robiah Ahmad
    ;
    Azmi Harun
    ;
    Radhwan Hussin
    ;
    Ahmad Nabil Mohd Khalil
    ;
    Muhammad Khairy Md Naim
    ;
    Ahmad Faizal Annuar
    This paper presents perturbation parameters for tuning of multi-objective optimization differential evolution and its application to dynamic system modeling. The perturbation of the proposed algorithm was composed of crossover and mutation operators.  Initially, a set of parameter values was tuned vigorously by executing multiple runs of algorithm for each proposed parameter variation. A set of values for crossover and mutation rates were proposed in executing the algorithm for model structure selection in dynamic system modeling. The model structure selection was one of the procedures in the system identification technique. Most researchers focused on the problem in selecting the parsimony model as the best represented the dynamic systems. Therefore, this problem needed two objective functions to overcome it, i.e. minimum predictive error and model complexity.  One of the main problems in identification of dynamic systems is to select the minimal model from the huge possible models that need to be considered. Hence, the important concepts in selecting good and adequate model used in the proposed algorithm were elaborated, including the implementation of the algorithm for modeling dynamic systems. Besides, the results showed that multi-objective optimization differential evolution performed better with tuned perturbation parameters.
      4  23
  • Publication
    Irregular shape effect of brass and copper filler on the properties of Metal Epoxy Composite (MEC) for rapid tooling application
    ( 2022)
    Radhwan Hussin
    ;
    Safian Sharif
    ;
    Shayfull Zamree Abd. Rahim
    ;
    Allan Rennie
    ;
    Mohd Azlan Suhaimi
    ;
    Abdellah El-hadj Abdellah
    ;
    Norshah Afizi Shuaib
    ;
    Mohd Tanwyn Mohd Khushairi
    ;
    Aurel Mihail Titu
    Due to their low shrinkage and easy moldability, metal epoxy composites (MEC) are recognized as an alternative material that can be applied as hybrid mold inserts manufactured with rapid tooling (RT) technologies. Although many studies have been conducted on MEC or reinforced composite, research on the material properties, especially on thermal conductivity and compressive strength, that contribute to the overall mold insert performance and molded part quality are still lacking. The purpose of this research is to investigate the effect of the cooling efficiency using MEC materials. Thus, this research aims to appraise a new formulation of MEC materials as mold inserts by further improving the mold insert performance. The effects of the thermal, physical, and mechanical properties of MEC mold inserts were examined using particles of brass (EB), copper (EC), and a combination of brass + copper (EBC) in irregular shapes. These particles were weighed at percentages ranging from 10% to 60% when mixed with epoxy resin to produce specimens according to related ASTM standards. A microstructure analysis was made using a scanning electron microscope (SEM) to investigate brass and copper particle distribution. When filler composition was increased from 10% to 60%, the values of density (g/cm3), hardness (Hv), and thermal conductivity (W/mK) showed a linear upward trend, with the highest value occurring at the highest filler composition percentage. The addition of filler composition increased the compressive strength, with the highest average compressive strength value occurring between 20% and 30% filler composition. Compressive strength indicated a nonlinear uptrend and decreased with increasing composition by more than 30%. The maximum value of compressive strength for EB, EC, and EBC was within the range of 90–104 MPa, with EB having the highest value (104 MPa). The ANSYS simulation software was used to conduct a transient thermal analysis in order to evaluate the cooling performance of the mold inserts. EC outperformed the EB and EBC in terms of cooling efficiency based on the results of thermal transient analysis at high compressive strength and high thermal conductivity conditions.
      5  18